Yang Xu | 许扬 @yangxu.bsky.social

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Yang Xu | 许扬 @yangxu.bsky.social

Yang Xu | 许扬 @yangxu.bsky.social

@psyyangxu

PhD student @Hein_Lab | #decisionmaking #learning #delaydiscounting #social #effort Marathon runner. We can appreciate and learn the value of effort and time.

Würzburg, Germany Katılım Temmuz 2017
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CLaE
CLaE@leafs_s·
Nature Neuroscience A neural signature of adaptive mentalization nature.com/articles/s4159…
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Andreas Olsson
Andreas Olsson@EmotionLabKI·
Interesting new paper narrowing the missing links between affective "empathy" and prosocial behavior by manipulating ACC‑projecting orexinergic circuits science.org/doi/10.1126/sc…
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Ruslan Rust
Ruslan Rust@rust_ruslan·
That's cool: NeuroSTORM, a foundation model for human fMRI. Pretrained with 28.65 million fMRI frames (>9,000 hours) collected from over 50,000 subjects: arxiv.org/abs/2506.11167
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Mariya Toneva
Mariya Toneva@mtoneva1·
So excited and honored to receive an ERC Starting Grant for the project BrainAlign!! BrainAlign will bring LLMs closer to human understanding by directly aligning them with the human brain. Stay tuned for our findings, and multiple postdoc and PhD openings in the coming years!
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Arkady Konovalov
Arkady Konovalov@arkadykonovalov·
Excited to share our new lab website! Konovalov Neuroeconomics Lab konelab.org Our research covers quite a few topics and methods across neuroeconomics, decision neuroscience, and behavioral economics:
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Yu Zhang, PhD
Yu Zhang, PhD@DrYuZhang·
My lab is seeking a highly motivated postdoctoral scholar to join our team at Stanford. If you are passionate about multimodal AI and neuroimaging, please reach out. #Postdoc #Hiring #AI #Neuroscience #Neuroimaging
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Trends in Cognitive Sciences
Trends in Cognitive Sciences@TrendsCognSci·
The integrated control of decision and movement vigor Review by David Thura, Adrian Haith, Gerard Derosiere, & Julie Duque tinyurl.com/55etbzvm
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Chujun Lin 林楚君
Chujun Lin 林楚君@LinChujun·
🚨New preprint doi.org/10.31234/osf.i… with my stellar student @LuJunsong19474: A Small-World Mind Theory of social cognition Big network, close connection🤯Reconciling debates on low-vs high-dimensional mental representation Showing why naturalistic designs make a difference
Chujun Lin 林楚君@LinChujun

1st paper from my lab out @CommunicationsPsychology @CommsPsychol nature.com/articles/s4427… We show an alternative way to understand how people mentally represent other people's characteristics, namely high-dimensional networks, beyond the popular latent factor models.

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Ido Ben-Artzi
Ido Ben-Artzi@IdoBa1·
Excited to share our new preprint! 🚨 Does human learning have an automatic aspect? Is it possible that we learn things that are counterproductive and only lead to reduced gains? We asked participants to choose cards to win rewards. Some cards had higher chances of winning than others, but the card locations on the screen were completely irrelevant. No matter how hard we tried, people still assigned value to locations. We gave them clear and vivid instructions. We quizzed them. We tested them across three sessions with 600 trials. And yet, they kept assigning value to the locations as if they mattered.
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Franklab_LNCC
Franklab_LNCC@LnccBrown·
check out @RussinJake 's new paper on the interplay between in-context and in-weight learning in neural nets can explain tradeoffs in human learning pnas.org/doi/epdf/10.10…
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Deng Pan 潘登
Deng Pan 潘登@DengPan18·
🚨We believe this is a major step forward in how we study hippocampus function in healthy humans. Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.
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bioRxiv Neuroscience@biorxiv_neursci

Causal necessity of human hippocampus for structure-based inference in learning biorxiv.org/content/10.110… #biorxiv_neursci

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Gerard Derosiere
Gerard Derosiere@GDerosiere·
Very glad to see our Review article out! It was a pleasure to collaborate with David Thura, Adrian Haith, and Julie Duque. Link: sciencedirect.com/science/articl…
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OHBM Trainees
OHBM Trainees@OHBM_Trainees·
🚨OPPORTUNITY!!🚨 We're looking for enthusiastic students and postdocs to join our team. Connect with other trainees, contribute to the OHBM community, and support the next generation of researchers! Apply here: docs.google.com/forms/d/e/1FAI… Nominations close September 12, 2025.
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